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You are about to analyze card payments that took place on at .

Payments are depicted as 3D spheres and they fall inside a transparent box at the pace they were carried out.

Each sphere corresponds with a group of upto 150 payments on an specific day made by people in the same age group and gender.

The sphere radius is proportional to the average payment and its color represents the commercial category following this legend:

  • bars/restaurants
  • food
  • services
  • office
  • car
  • auto
  • travel
  • sport
  • beauty
  • health
  • fashion
  • leisure
Object Inspector

You can point and click over any sphere to inspect the data it represents.

Magnetic Fields

You can create several magnetic fields (a.k.a. filters) to take apart the spheres matching given criteria out of the transparent box

show instructions

You can use the following data variables in your filter expressions: $date, $category, $num_payments, $avg_payment, $gender and $age_range.

Filter expressions support the following comparison operators: == (equals to), != (not equals to), > (greater than), >= (greater than or equals to), < (less than), <= (less than or equals to); and the logical operators: && (and), || (or) and ! (not).

Examples:

Payments by men and average payment greater than or equals to 2,500:
($gender == 'M') && ($avg_payment >= 2500)
Payments in mx_office category between 20131101 and 20131110:
($category == 'mx_office') && ($date >= '20131101') && ($date <= 20131110')

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